Triple
T26525248
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Royal College of Surgeons in Ireland |
E670669
|
entity |
| Predicate | degreeAwardingStatusGrantedBy |
P37764
|
FINISHED |
| Object | Irish state |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Irish state | Statement: [Royal College of Surgeons in Ireland, degreeAwardingStatusGrantedBy, Irish state]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: degreeAwardingStatusGrantedBy Context triple: [Royal College of Surgeons in Ireland, degreeAwardingStatusGrantedBy, Irish state]
-
A.
degreeGrantedBy
Indicates that a specific academic degree was officially conferred by a particular granting institution.
-
B.
degreeGrantingStatus
chosen
Indicates whether an institution or program has the authority to confer formal academic degrees.
-
C.
degreeGrantingInstitution
Indicates the institution that formally awarded a particular academic degree to an entity.
-
D.
grantedDegreesTo
Indicates that one entity has officially conferred academic degrees upon another entity.
-
E.
grantsDegreeThrough
Indicates that an institution confers a degree to an individual by means of a specified program, process, or pathway.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69eeb31ea1e08190b9ff43cf9bc25bf8 |
completed | April 27, 2026, 12:51 a.m. |
| NER | Named-entity recognition | batch_69f613c5626c8190bdb3c0263f911847 |
completed | May 2, 2026, 3:09 p.m. |
| PD | Predicate disambiguation | batch_69f60b89cc048190a9feb24466006be0 |
completed | May 2, 2026, 2:34 p.m. |
Created at: April 27, 2026, 1:31 a.m.